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Probing Prefrontal Cortex Hemodynamic Alterations for Major Depression Disorder (MDD)

2018年7月11日 更新者:Xijing Hospital

Probing Prefrontal Cortex Hemodynamic Alterations During Facial Emotion Recognition for Major Depression Disorder Through Functional Near-infrared Spectroscopy

Major depression disorder (MDD) has high estimated lifetime prevalence rates of 16.6%. Currently, the diagnosis for the MDD mainly depends on patients' reports of symptoms, observed behaviors and disease course. Establishment of clinically useful biomarkers for the MDD diagnosis would enhance patient management and treatment effect, and lead to the therapies adjusted to the individual. However, no such biomarkers have been established up to now. Therefore, the development of objective and feasible biomarkers is of special significance and a great challenge for accurate and early diagnosis and treatment of depression, in order to overcome the limitations of relying on clinical interviews alone.The ability to correctly recognize emotional states from faces is instrumental for interpersonal engagement and social functioning. Impairments processing of facial emotional expressions and biased facial emotion detection are frequently found in the MDD patients. To date, the studies on neural mechanism of the facial emotion recognition of the MDD patients were mainly based on the functional magnetic resonance imaging (fMRI). Functional near-infrared spectroscopy (fNIRS) has not been applied for the facial emotion recognition for the depression patients up to now. To bridge the important gap in the literature, we used the fNIRS methodology to investigate the neural mechanisms of facial emotion recognition for the patients with depression. We hypothesize the physiological feature of the hemodynamic responses in prefrontal cortex measured by fNIRS under the task of face emotion recognition, including the difference of the median, the Mayer wave power, the mean cross wavelet coefficient, and the mean wavelet coherence coefficient, combined with the behavior measurement (behavior accuracy and response time), could provide a reliable and feasible diagnosis approach to differentiate patients with the MDD from healthy control (HC) subjects with acceptable sensitivity and specificity.

調査の概要

状態

わからない

詳細な説明

The fMRI technique for functional imaging were limited by the fact that the individuals need to be placed in an uncomfortable or unnatural setting and foreign, noisy, dark, or claustrophobic environment (e.g., lying in a supine position in a narrow gantry with the head restrained during the entire examination), for accurate measurement during the procedure, with relatively lower temporal resolution. In contrast, a multi-channel fNIRS machine provides a completely non-invasive, quiet and mobile measurement of brain function in ordinary clinical settings and allows patients to be comfortably seated in a normal posture in a well-lit room, with higher temporal resolution making it possible to obtain a recording of the actual time course of a hemodynamic epoch in response to a specific cognitive task (e.g., facial emotion recognition task in our study) in a single trial. Additionally, due to the small operating and maintenance costs associated with NIRS, it is possible to run fNIRS study with a large sample of participants.

研究の種類

観察的

入学 (予想される)

200

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Shaanxi
      • Xi'an、Shaanxi、中国、710032
        • Department of psychiatry, Xijing Hospital; Research Institute of Biomedical Engineering, Xi'an Jiaotong University

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年~35年 (大人)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

サンプリング方法

非確率サンプル

調査対象母集団

This study was performed in Xijing Hospital and Xi'an Jiaotong University in China. 100 right-handed subjects meeting DSM-IV criteria for major depression were recruited by advertisement to participate in the study, and were matched with a control group of 100 comparison subjects of university staff members, university students and members of the general population.

説明

Inclusion Criteria:

  • MDD group:

All subjects were free of psychotropic medication for a minimum of 4 weeks; Psychiatric diagnosis was determined by DSM-IV criteria; Depressed subjects were included with 17-item Hamilton Rating Scale for Depression (HRSD) scores ≥ 18; Mini-mental State Examination(MMSE) ≥ 24; All subjects had normal or corrected-to-normal vision.

  • HC group:

All subjects were free of psychotropic medication for a minimum of 4 weeks; All subjects did not have any mental, neurological or physical diseases;HRSD scores ≤ 7; MMSE ≥ 28; All subjects had normal or corrected-to-normal vision.

Exclusion Criteria:

  • Exclusion criteria were any history of neurologic trauma resulting in loss of consciousness, any current neurologic disorder, any lifetime psychiatric disorder other than major depression in the MDD subjects, or any lifetime psychiatric disorder in control subjects. Careful attention was paid to excluding substance abuse disorders.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 観測モデル:ケースコントロール
  • 時間の展望:見込みのある

コホートと介入

グループ/コホート
MDD group
The major depression group (MDD group) received antidepressant treatment but did not interfere with drug selection.
HC group
The healthy control group (HC group) don't accept intervention and treatment.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Hamilton Depression Scale-17(HAMD-17) score alterations
時間枠:Change from baseline HAMD-17 scores at 6 months
The HAMD-17 scores are to evaluate the severity degree of depression, and the HAMD-17 scores reduction rate is used to evaluate the clinical treatment effect. If the reduction rate exceeds 50%, it indicates that the clinical treatment is effective.
Change from baseline HAMD-17 scores at 6 months

二次結果の測定

結果測定
メジャーの説明
時間枠
facial emotion recognition
時間枠:Difference at facial emotion recognition between day 1 and month 6.
The ability to correctly recognize emotional states from faces is instrumental for interpersonal engagement and social functioning. Impairments processing of facial emotional expressions and biased facial emotion detection are frequently found in the MDD patients. Functional near-infrared spectroscopy (fNIRS) has not been applied for the facial emotion recognition for the depression patients up to now.
Difference at facial emotion recognition between day 1 and month 6.
Pittsburgh Sleep Quality Index(PSQI)
時間枠:Difference at PSQI between day 1, month 3 and month 6.
PSQI was used to assess the quality of sleep for subjects in the recent month. The total score ranges from 0 to 21 points. The higher the score, the worse the sleep quality.
Difference at PSQI between day 1, month 3 and month 6.

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • スタディチェア:Huaning Wang, doctorate、Department of Psychiatry, Xijing Hospital

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2017年2月16日

一次修了 (予想される)

2018年8月31日

研究の完了 (予想される)

2018年12月31日

試験登録日

最初に提出

2018年6月24日

QC基準を満たした最初の提出物

2018年7月11日

最初の投稿 (実際)

2018年7月23日

学習記録の更新

投稿された最後の更新 (実際)

2018年7月23日

QC基準を満たした最後の更新が送信されました

2018年7月11日

最終確認日

2018年2月1日

詳しくは

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